I’m doing some form of data visualization learning for 180 days because I need to #JFDI. See post explaining how and why I’m doing this.
Reading and Learning Data Visualization Theoretically/Critically:
Reading Nathan Yau’s book Visualize This
80-90 Tools to Visualize Data Chapter
- Maps that are zoomable and able to be moved and panned easily are known as slippy maps – split into smaller images, or tiles. Example of this is Google maps p. 80
- Mapping resources for data viz include: Google and Microsoft maps, ArcGIS, Modest Maps, Polymaps, GeoCommons, IndieMapper, Spatial Key R p. 86
- Combining different software or solutions is a key to creating better data viz – as each has its own strengths and thresholds p 89